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Record W2622315750 · doi:10.1684/sss.2017.0202

L’action des bénévoles dans les soins palliatifs. Remarques à partir de l’expérience québécoise

2017· article· fr· W2622315750 on OpenAlexaff
Andrée Sévigny

Bibliographic record

VenueSciences sociales et santé · 2017
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsHôpital du Saint-Sacrement
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

This paper addresses the presence of volunteers working with hospitalized patients receiving palliative care and the meaning each of the actors gives to that presence. It is based on a body of semi-structured interviews with patients, families, medical personnel, and volunteers in 10 hospitals. Within the context of the extension of a palliative approach to all departments where deaths occur, we attempt to understand how (and within what work settings) personnel and volunteers “work” together, and how that lay presence is perceived by patients at the end of life and their families. While the analysis highlighted important differences in viewpoints on the volunteer work studied, primarily as a function of the type of actors involved and the work setting, it also identified a certain number of conflicts that each person attempts to overcome in their own way. This raises the question of what form this particular activity should take in France, an activity that, in the words of volunteers, is not to “do” but to “be there to be there [out of] human solidarity.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.293
Threshold uncertainty score0.590

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0170.012
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.308
GPT teacher head0.516
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractno

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